Deep Reinforcement Learning Based Strategy For Optimizing Phase Splits in Traffic Signal Control
Author:
Affiliation:
1. School of Electrical and Electronic Engineering, Nanyang Technological University,Singapore,639798
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9921415/9921739/09922531.pdf?arnumber=9922531
Reference24 articles.
1. Proximal policy optimization algorithms;schulman;ArXiv Preprint,2017
2. Dynamic Origin-Destination Estimation without Historical Origin-Destination Matrices for Microscopic Simulation Platform in Urban Network
3. Multi-Agent Deep Deterministic Policy Gradient for Traffic Signal Control on Urban Road Network
4. Deep reinforcement learning in large discrete action spaces;dulac-arnold;ArXiv Preprint,2015
5. Partially Detected Intelligent Traffic Signal Control: Environmental Adaptation
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1. GA-Critic: A Traffic Signal Control Strategy Under Incident Conditions for Urban Networks;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24
2. Prioritized Phase Split Optimization for Coordinated Traffic Signal Control in Urban Network Using Deep Reinforcement Learning;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24
3. Intelligent multimedia content delivery in 5G/6G networks: A reinforcement learning approach;Transactions on Emerging Telecommunications Technologies;2023-08-14
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